On Fri, 2007-10-12 at 11:16 -0600, D. R. Evans wrote: > The standard chisq.test() and fisher.test() functions, when applied to > two distributions (to determine whether the same underlying > distribution applies to both) requires one to pre-bin the > distributions. > > Is there a library function (either built-in or in a package) that > acts more like the ks.test() function, in that one can simply pass the > two distributions and have it do the necessary binning as well as the > actual statistical test? > > (Yes, you can accuse me of laziness: I just don't fancy trying to > figure out a routine that would make sure that there more than 5 > samples in each of the expected bins before applying the chi-squared > test. It seems too much like re-inventing an elementary wheel that > must have been invented by someone else.)
You might want to review the following article: Chi-squared and Fisher-Irwin tests of two-by-two tables with small sample recommendations Ian Campbell Stat in Med 26:3661-3675; 2007 http://www3.interscience.wiley.com/cgi-bin/abstract/114125487/ABSTRACT Frank Harrell has offered some comments here (bottom of page): http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/DataAnalysisDisc HTH, Marc Schwartz ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
